Pingping Hu

664 citations
18 papers · 523 · h-index 10

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Cells and Metastasis

Papers in

    • Immune cells in cancer 6
    • interferon and immune responses 2
    • Immune Cell Function and Interaction 2
    • Cancer Immunotherapy and Biomarkers 3

Pingping Hu

18 papers receiving 517 citations

Peers

Pingping Hu
Comparison fields: 5 of 54
  • Immunology 261
  • Oncology 216
  • Cancer Research 59
  • Hepatology 24
  • Immunology and Allergy 12
Replace Leting Zheng with:
Leting Zheng China
Xianfeng Fang China
Eugene Makarev United States
Micaela Morgado United States
Linghua Zheng United States
Man Nie China
Kellie A. Mouchemore Australia
Zhengguang Wang China
Michelle A. Mintz United States
Cathy Biota France
Pingping Hu relative to Leting Zheng China Leting Zheng's profile →
Citations per field
00.5×10×12.7×
Leting Zheng · 1×
Citations per year

Countries citing papers authored by Pingping Hu

Since Specialization
Citations

This map shows the geographic impact of Pingping Hu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pingping Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingping Hu more than expected).

Fields of papers citing papers by Pingping Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pingping Hu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pingping Hu. The network helps show where Pingping Hu may publish in the future.

Co-authors

The 25 scholars most cited alongside Pingping Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pingping Hu Line = papers co-authored together Pingping Hu links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2014273
2 201540
3 202135
4 202130
5 201724
6 201920
7 201919
8 202017
9 202316
10 202213
11 20159
12 20209
13 20148
14 20253
15 20213
16 20232
17 20251
18 20251

About Pingping Hu

Pingping Hu is a scholar working on Immunology, Oncology, Epidemiology, Surgery and Molecular Biology, having authored 18 papers that have together received 523 indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Hepatitis B Virus Studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Esophageal Cancer Research and Treatment (2 papers), interferon and immune responses (2 papers), Immune Cell Function and Interaction (2 papers), Cancer-related molecular mechanisms research (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Immunology (261 citations), Oncology (216 citations), Cancer Research (59 citations), Hepatology (24 citations) and Immunology and Allergy (12 citations). Pingping Hu has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Jiajun Du, Frede Donskov, Guanghui Wang, Qi Liu, Chuanlong Zhu, Zhaofei Pang, Guodong Deng, Ning Liang, Ping Zhang and Linhai Zhu. Their work appears in journals such as Translational Lung Cancer Research, Tumor Biology, Frontiers in Cellular and Infection Microbiology, PLoS ONE and Future Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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